TYPE-2 FUZZY

基于线性判别的人脸识别，本设计对主成分分析和线性判别两种子空间方法进行了深入研究，包括LDA及其在人脸识别应用的若干问题(Face recognition based on linear discriminant, the design of the principal component analysis and linear discriminant subspace methods are two in-depth study, including the LDA and its Application in Face Recognition Issues)

用于图论里面求最小着色数，这么长可以了吗？？？？？(my english is really poor, dunt know how to translate it)

This demo develops the steady-state characteristics of an induction motor First start the simulation, then Double click the <PLOTS> block to view torque-speed and current-speed curves and the current circle diagram(This demo develops the steady-state chara cteristics of an induction motor First start th e simulation, then click the Double)

常规PID、Smith预估补偿、改进的Smith、双控制器控制和内模的Simulink仿真图(Conventional PID, Smith, forecast compensation, the improved Smith, double control and internal model controller of Simulink simulation diagram )

关于编码以及信道研究的程序，希望对大家有用(Coding and channel on the research process, we hope to be useful)

这是我自己编写的提取brushlet能量相位特征的程序，然后有结果。(tezheng.zip)

Perform rotation, translation and scaling on any image using MATLAB. The function has five inputs. These include at the first place the image which is to be rotated, translated and scaled. The second includes the scale factor. Scale factor less than 1 results in compression whereas that more than 1 results expansion. The value in this field cannot be 0.The third includes rotation which can have values like 0,10 30,etc. The fourth is x translation value and the fifth being the y translation value. The output images will be a combination of all the inputs provided.

inverter : onduleur 3 nivoeu onduleur monophase three order

滑模控制经典书籍，内含各种程序源代码！包括基本滑模控制，自适应滑膜控制，及反演自适应滑模控制！是一本很好的资料！(Sliding Mode Control classic books , containing a variety of program source code ! Includes basic sliding mode control , adaptive control synovium , and inversion adaptive sliding mode control ! Is a very good information ! )

开发环境:Matlab 简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。(development environment : Matlab Brief Description : Momentum-adaptive learning algorithm adjustments. In practical application, the original BP algorithm competence, resulting in a lot of improved algorithm. BP algorithm improvements There are two main ways of using a heuristic approach to learning Another is the use of a more effective method of optimization. Momentum cases using the BP algorithm to achieve the network training process, Momentum for reducing error of the network for local surface details of the sensitivity, to effectively curb the network into local minima.)